Virtual Labs

Tools

Aim

Theory

Pretest

Procedure

Simulation

Posttest

References

Feedback

Aim

Theory

Pretest

Procedure

Simulation

Posttest

References

Feedback

Comparison of Linear, Lasso, and Ridge Regression

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What is the main advantage of using Lasso regression over Linear regression?

a: It reduces training time significantly. Explanation

Explanation

b: It automatically selects important features by setting some coefficients to zero. Explanation

Explanation

c: It minimizes bias in the model. Explanation

Explanation

d: It increases the complexity of the model. Explanation

Explanation

How does increasing the alpha value in Ridge regression affect the model?

a: Increases the magnitude of coefficients. Explanation

Explanation

b: Decreases the magnitude of coefficients. Explanation

Explanation

c: Has no impact on the model. Explanation

Explanation

d: Makes the model underfit the data. Explanation

Explanation

Which of the following is true about the role of alpha in Lasso and Ridge regression?

a: Higher alpha values reduce overfitting by increasing regularization. Explanation

Explanation

b: Lower alpha values increase model complexity. Explanation

Explanation

c: Alpha values have no impact on model performance. Explanation

Explanation

d: Alpha values increase bias and variance simultaneously. Explanation

Explanation

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